Results 11 to 20 of about 195,073 (241)
Learning Region-Based Attention Network for Traffic Sign Recognition
Sensors, 2021 Traffic sign recognition in poor environments has always been a challenge in self-driving. Although a few works have achieved good results in the field of traffic sign recognition, there is currently a lack of traffic sign benchmarks containing many ...
Ke Zhou, Yufei Zhan, Dongmei Fu
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Recent Advances in Traffic Sign Recognition: Approaches and Datasets
Sensors, 2023 Autonomous vehicles have become a topic of interest in recent times due to the rapid advancement of automobile and computer vision technology. The ability of autonomous vehicles to drive safely and efficiently relies heavily on their ability to ...
Xin Roy Lim +5 more
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Applied Sciences, 2023 Artificial Intelligence (AI) in the automotive industry allows car manufacturers to produce intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver Assistance Systems (ADAS) and/or Automated Driving Systems (ADS) such as
Nesrine Triki +2 more
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Image synthesis with neural networks for traffic sign classification [PDF]
Компьютерная оптика, 2018 In this work, we research the applicability of generative adversarial neural networks for generating training samples for a traffic sign classification task. We consider generative neural networks trained using the Wasserstein metric.
Vladislav Shakhuro, Anton Konushin
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Road images augmentation with synthetic traffic signs using neural networks
Компьютерная оптика, 2021 Traffic sign recognition is a well-researched problem in computer vision. However, the state of the art methods works only for frequent sign classes, which are well represented in training datasets. We consider the task of rare traffic sign detection and
A.S. Konushin +2 more
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Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods [PDF]
, 2018 This paper presents a Deep Learning approach for traffic sign recognition systems. Several classification experiments are conducted over publicly available traffic sign datasets from Germany and Belgium using a Deep Neural Network which comprises ...
Arcos García, Álvaro +2 more
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Towards Enhancing Traffic Sign Recognition through Sliding Windows
Sensors, 2022 Automatic Traffic Sign Detection and Recognition (TSDR) provides drivers with critical information on traffic signs, and it constitutes an enabling condition for autonomous driving.
Muhammad Atif +3 more
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An optimization approach for localization refinement of candidate traffic signs [PDF]
, 2017 We propose a localisation refinement approach for candidate traffic signs. Previous traffic sign localisation approaches which place a bounding rectangle around the sign do not always give a compact bounding box, making the subsequent classification ...
Hu, Shimin +3 more
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A robust algorithm for detection and classification of traffic signs in video data [PDF]
, 2012 —The accurate identification and recognition of the traffic signs is a challenging problem as the developed systems have to address a large number of imaging problems such as motion artifacts, various weather conditions, shadows and partial occlusion ...
Bui, Thanh +3 more
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Traffic sign recognition by using chain code [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2012 The Traffic signs are considered as Traffic Safety tools, Because of their role in the organization of traffic and vehicles to insure the safety of the passengers, pedestrians and the structures of traffic signs are very important devices which help the ...
Sundus Ebraheem, Reham Al-Atiwi
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